Instructions to use Data-Lab/moderation_layer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Data-Lab/moderation_layer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Data-Lab/moderation_layer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Data-Lab/moderation_layer") model = AutoModelForSequenceClassification.from_pretrained("Data-Lab/moderation_layer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 063325d95a3360ae9b48630daacc70fac0f200615ae10b359d2b78665f71a4b6
- Size of remote file:
- 117 MB
- SHA256:
- 47090fa13fdd9e5ff7e5c681a269c42309877af113f89009cf9bac8f5fd11d41
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